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Developing new sensing technologies to obtain desired and accurate information more effectively from the limited sensor positions is one of the critical challenges that scientists and engineers aspire to undertake in the 21st century. This paper surveys applications of virtual sensing in different fields, e.g., transportation, wireless communication, sensor networks and active noise control. It reviews the existing methods used to infer virtual sensing information. The virtual sensing techniques and their application in active noise control are especially discussed.
Liu et al. (Sun,) studied this question.
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